Fluid Abilities and Rule Learning: Patterning and Biconditional Discriminations

Autor: Irina Baetu, Nicholas R. Burns, Elsa Yu, A. G. Baker
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Journal of Intelligence, Vol 6, Iss 1, p 7 (2018)
Druh dokumentu: article
ISSN: 2079-3200
DOI: 10.3390/jintelligence6010007
Popis: Previous experience with discrimination problems that can only be solved by learning about stimulus configurations enhances performance on new configural discriminations. Some of these effects can be explained by a shift toward increased configural processing (learning about combinations of cues rather than about individual elements), or by a tendency to generalize a learned rule to a new training set. We investigated whether fluid abilities influence the extent that previous experience with configural discriminations improves performance on subsequent discriminations. In Experiments 1 and 2 we used patterning discriminations that could be solved by applying a simple rule, whereas in Experiment 3 we used biconditional discriminations that could not be solved using a rule. Fluid abilities predicted the improvement on the second training set in all experiments, including Experiment 3 in which rule-based generalization could not explain the improvement on the second discrimination. This supports the idea that fluid abilities contribute to performance by inducing a shift toward configural processing rather than rule-based generalization. However, fluid abilities also predicted performance on a rule-based transfer test in Experiment 2. Taken together, these results suggest that fluid abilities contribute to both a flexible shift toward configural processing and to rule-based generalization.
Databáze: Directory of Open Access Journals
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